Kailong Lin

461 total citations
9 papers, 380 citations indexed

About

Kailong Lin is a scholar working on Molecular Biology, Oncology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kailong Lin has authored 9 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kailong Lin's work include Cancer Cells and Metastasis (2 papers), Bioinformatics and Genomic Networks (1 paper) and Adipose Tissue and Metabolism (1 paper). Kailong Lin is often cited by papers focused on Cancer Cells and Metastasis (2 papers), Bioinformatics and Genomic Networks (1 paper) and Adipose Tissue and Metabolism (1 paper). Kailong Lin collaborates with scholars based in China. Kailong Lin's co-authors include Bo Zhu, Yongsheng Li, Tao Yang, Jianan Cheng, Tong Xiang, Zhiqing Liang, He Li, Rui Xie, Haixia Long and Wei Zhuo and has published in prestigious journals such as Oncogene, Biochemical and Biophysical Research Communications and Medicine.

In The Last Decade

Kailong Lin

7 papers receiving 379 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kailong Lin China 6 254 135 102 99 73 9 380
S. Muthuramalingam United Kingdom 6 190 0.7× 137 1.0× 85 0.8× 44 0.4× 59 0.8× 10 346
Teming Zhang China 6 160 0.6× 110 0.8× 135 1.3× 114 1.2× 89 1.2× 10 324
Zhengchun Kang China 6 176 0.7× 163 1.2× 133 1.3× 109 1.1× 95 1.3× 11 358
Shaima’a Hamarsheh Germany 3 183 0.7× 152 1.1× 224 2.2× 56 0.6× 52 0.7× 3 407
Caterina Gianni Italy 10 139 0.5× 49 0.4× 118 1.2× 71 0.7× 72 1.0× 38 288
Xiliang Cong China 9 283 1.1× 161 1.2× 129 1.3× 150 1.5× 112 1.5× 14 479
Xiuying Xie China 11 168 0.7× 72 0.5× 171 1.7× 77 0.8× 100 1.4× 34 374
Mingyi Ju China 11 143 0.6× 101 0.7× 301 3.0× 170 1.7× 150 2.1× 17 439
Liqiang Wang China 11 192 0.8× 83 0.6× 154 1.5× 62 0.6× 145 2.0× 19 402

Countries citing papers authored by Kailong Lin

Since Specialization
Citations

This map shows the geographic impact of Kailong Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kailong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kailong Lin more than expected).

Fields of papers citing papers by Kailong Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kailong Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kailong Lin. The network helps show where Kailong Lin may publish in the future.

Co-authorship network of co-authors of Kailong Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Kailong Lin. A scholar is included among the top collaborators of Kailong Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kailong Lin. Kailong Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Han, Fang, Yuanyuan Liang, Zhenzhen Wu, et al.. (2025). Dynamics of serum tumor markers may indicate the progression of interstitial lung disease in Sjögren’s syndrome patients: new roles for old friends. Clinical and Experimental Medicine. 25(1). 229–229.
2.
Xu, Jinyuan, Jie Xu, Kailong Lin, et al.. (2024). The identification of a novel shared therapeutic target and drug across all insulin-sensitive tissues under insulin resistance. Frontiers in Nutrition. 11. 1381779–1381779.
3.
Xu, Zihui, et al.. (2020). Overexpression of LncRNA PSMG3-AS1 Distinguishes Glioblastomas from Sarcoidosis. Journal of Molecular Neuroscience. 70(12). 2015–2019. 11 indexed citations
4.
Lin, Kailong, Yang Wang, Hongfang Li, et al.. (2020). Endovascular treatment of cerebrovascular stenosis with stent for patients with ischemic cerebrovascular disease. Medicine. 99(47). e23313–e23313. 5 indexed citations
5.
Wang, Dan, Tong Xiang, Zhongquan Zhao, et al.. (2016). Autocrine interleukin-23 promotes self-renewal of CD133+ ovarian cancer stem-like cells. Oncotarget. 7(46). 76006–76020. 19 indexed citations
6.
Lin, Kailong, Jianan Cheng, Tao Yang, Yongsheng Li, & Bo Zhu. (2015). EGFR-TKI down-regulates PD-L1 in EGFR mutant NSCLC through inhibiting NF-κB. Biochemical and Biophysical Research Communications. 463(1-2). 95–101. 138 indexed citations
7.
He, Siyi, Kailong Lin, Ruiyan Ma, Rufu Xu, & Yingbin Xiao. (2015). Effect of the Urinary Tryptin Inhibitor Ulinastatin on Cardiopulmonary Bypass–Related Inflammatory Response and Clinical Outcomes: A Meta-Analysis of Randomized Controlled Trials. Clinical Therapeutics. 37(3). 643–653. 16 indexed citations
8.
Lin, Kailong, et al.. (2014). Complement component 3 is a prognostic factor of non-small cell lung cancer. Molecular Medicine Reports. 10(2). 811–817. 32 indexed citations
9.
Xiang, Tong, Haixia Long, He Li, et al.. (2013). Interleukin-17 produced by tumor microenvironment promotes self-renewal of CD133+ cancer stem-like cells in ovarian cancer. Oncogene. 34(2). 165–176. 159 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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